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Run LibreOffice in AWS Lambda to create PDFs & convert documents
| Date | Stars |
|---|---|
| 2026-07-24 | 529 |
| 2026-07-25 | 529 |
| 2026-07-28 | 529 |
| 2026-07-30 | 529 |
| 2026-08-06 | 529 |
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growth rate 0.00%/day
# Serverless LibreOffice
# UPD 2022-06
> See [libreoffice-lambda-base-image](https://github.com/shelfio/libreoffice-lambda-base-image) & [aws-lambda-libreoffice](https://github.com/shelfio/aws-lambda-libreoffice) for the latest updates
[](https://vladholubiev.com/serverless-libreoffice)
<p align="center">
<a href="https://medium.com/@vladholubiev/how-to-run-libreoffice-in-aws-lambda-for-dirty-cheap-pdfs-at-scale-b2c6b3d069b4">
👉🏻 Read the blog post on Medium: How to Run LibreOffice in AWS Lambda for Dirty-Cheap PDFs at Scale 👈🏻
</a>
</p>
# Show Me the Code
This repo contains code used to run the [online demo](https://vladholubiev.com/serverless-libreoffice).
```
├── compile.sh <-- commands used to compile LibreOffice for Lambda
├── infra <-- terraform config to deploy example Lambda
│ ├── iam.tf
│ ├── lambda.tf
│ ├── main.tf
│ ├── s3.tf
│ └── vars.tf
└── src <-- example Lambda function node in Node.js used for website demo
├── handler.js
├── libreoffice.js
├── logic.js
├── package.json <-- put lo.tar.gz in this folder to deploy. Download it below
└── s3.js
```
Compiled and ready to use archive can be downloaded under [Releases section](https://github.com/vladgolubev/serverless-libreoffice/releases). Also check out [NPM package with bundled LibreOffice for Lambda (85 MB)](https://github.com/shelfio/aws-lambda-libreoffice).
✨ Check out a new [Lambda Layer with LibreOffice](https://github.com/shelfio/libreoffice-lambda-layer)!
# How to compile by yourself
> Check out a comprehensive [step-by-step tutorial](STEP_BY_STEP.md) from 0 to deployed function.
To run this, you will need to [Docker](https://docs.docker.com/install/) and [docker-compose](https://docs.docker.com/compose/install/) installed.
1. Install and configure Docker and docker-compose locally or on a `c5.2xlarge` spot instance with ~ 8 GB (the default) of storage attached.
1. In a terminal, run `docker-compose run --rm libreoffice`. It will compile LibreOffice and then copy layers.zip to your local drive.
# Help
- [List of RPM Packages available in AWS Lambda](https://gist.github.com/vladgolubev/1dac4ed47a5febf110c668074c6b671c)
- [List of Libraries available in AWS Lambda](https://gist.github.com/vladgolubev/439559fc7597a4fb51eaa9e97b72f319)
# Related Projects
- [Docker in AWS Lambda](https://github.com/vladgolubev/docker-in-aws-lambda)
- [NPM package with bundled LibreOffice for Lambda (85 MB)](https://github.com/shelfio/aws-lambda-libreoffice)
- [Lambda Layer with LibreOffice](https://github.com/shelfio/libreoffice-lambda-layer)
# How To Help
## Reduce Cold Start Time
Currently ƛ unpacks 109 MB .tar.gz to `/tmp` folder which takes ~1-2 seconds on cold start.
Would be nice to create a single compressed executable to save unpack time and increase portability.
I tried using [Ermine](http://www.magicermine.com/) packager and it works!!
But unfortunately this is commercial software.
Similar open-source analogue [Statifier](http://statifier.sourceforge.net/) produces broken binaries.
Maybe someone has another idea how to create a single executable from a folder full of shared objects.
**UPD:** TODO: Check out [node-packer](https://github.com/pmq20/node-packer) and [libsquash](https://github.com/pmq20/libsquash) (no FUSE required!)
## Further Size Reduction
I am not a Linux or C++ expert, so for sure I missed some easy "hacks"
to reduce size of compiled LibreOffice.
Mostly I just excluded from compilation as much unrelated stuff as possible.
And stripped symbols from shared objects.
Here is the list of: [available RPM packages](https://gist.github.com/vladgolubev/1dac4ed47a5febf110c668074c6b671c)
and [libraries](https://gist.github.com/vladgolubev/439559fc7597a4fb51eaa9e97b72f319)
available in AWS Lambda Environment, which can be helpful.
You can also use multi compression level, with upx and then decompress after brotli.Excerpt of 4,532 characters
Read on GitHub
Vladyslav Holubiev · @shelfio · Poland
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Mend Renovate · @mend
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:55871ab1d6840bcd, topic:serverless